Imbalanced Classification with Python： Choose Better Metrics， Balance Skewed Classes， and Apply Cost-Sensitive Learning（Jason Brownlee）（Machine Learning Mastery 2020）

  • 书名：Imbalanced Classification with Python: Choose Better Metrics, Balance Skewed Classes, and Apply Cost-Sensitive Learning
  • 出版社：Machine Learning Mastery
  • 作者：Jason Brownlee
  • 出版年份：2020
  • 电子书格式： pdf
  • 简介：Tackle the challenge of imbalanced classification with this comprehensive guide. Learn how to choose the right metrics, effectively balance skewed classes, and implement cost-sensitive learning techniques using Python. Master crucial concepts like precision, recall, F1-score, and ROC curves. This book is perfect for data scientists, machine learning engineers, and anyone working with imbalanced datasets. Improve your model’s performance and gain a deeper understanding of this critical area of machine learning.
  • ISBN：9798468452240, 84684
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